Vandewalle, PatrickSüsstrunk, SabineVetterli, Martin2005-04-182005-04-182005-04-18200410.1117/12.526478https://infoscience.epfl.ch/handle/20.500.14299/212904WOS:000223125100040In this paper, we present a super-resolution method to approximately double image resolution in both dimensions from a set of four low resolution, aliased images. The camera is shifted and rotated by small amounts between the different image captures. Only the low frequency, aliasing-free part of the images is used to find the shift and rotation parameters. When the images are registered, it is possible to reconstruct a higher resolution, aliasing-free image from the four low resolution images using cubic interpolation. We applied our algorithm in a simulation, where all parameters are known and controlled, as well as in a practical experiment using images taken with a real digital camera. The results obtained in both tests prove the validity of our method.super-resolution imagingsubpixel planar motion estimationshift and rotation estimationaliased imagesIVRGNCCR-MICS/CL4NCCR-MICStext::conference output::conference proceedings::conference paper